Graduate PhD candidate in Bioinformatics and Computational Biology with hands-on experience in NGS data analysis (Nanopore, RNA-seq, PCR), pipeline development (R, Python, Snakemake), and molecular modeling. Skilled at translating sequencing datasets into biological insights, with strong communication, teamwork, and leadership and Passionate about applying genomics and systems biology approaches to advance drug discovery, precision medicine, and infectious disease monitoring
2024–Present
Department of Veterinary Microbiology and Preventive Medicine, Iowa State University
Research Assistant, Dr. El-Gazzar Lab
2023–2024
Department of Chemistry, Iowa State University
Research Assistant, Dr. Potoyan Lab
Department of Chemical and Biological Engineering, Iowa State University
Research Assistant, Dr. Chowdhury Lab
Department of Biomedical Sciences, Iowa State University
Research Assistant, Dr. Kumar Lab
Performed PCR, worked with malaria cell cultures, and conducted gel electrophoresis experiments.
Genomics, Epigenomics, NGS data analysis, pipeline development, Precision medicine,Infectious disease monitoring, Systems biology, Translational research, biomarker discovery Computational biology, Structural biology, Drug design, CADD
1. Development of portable standalone bioinformatic pipeline for analysis of genomic sequencing data from biological samples, The proposed PSPB will identify and classify viral field samples by comparing them with sequences in the Avian FAD sequence database using only the limited RAM (high-speed accessible memory) available in standard mobile computational devices. The string data structure 'generalized suffix tree' will be utilized to build a representation of all known Avian FAD sequences. This data structure allows the efficient identification and characterization of viral sequences present in field samples.
2.Computational design of peptidomimetics for SARS-CoV-2, ACE-2-RBD (Receptor binding domain of spike protein) interaction is important for SARS-CoV-2 to enter the host cell and cause infection. It is possible to prevent it by peptide mimetics that have higher binding affinity to ACE-2. In this project, it is hereby proposed to design those peptides from reference by altering its sequence, substitution of amino acids based on nature and to study the binding properties of those peptides through molecular docking followed by molecular dynamic (MD) simulations resulting in a multi-mutant peptide with higher affinity and stability.
3. Formulation and evaluation of once daily sustained release tablet of Metformin hydrochloride matrix tablets, In this project, it was observed that a properly designed sustained release formulation of Metformin administered once daily can prevent the plasma level fluctuations that occur due to repeated dosing which is the prior focus to formulate these matrix tablets of Metformin hydrochloride.
References available upon request.